We are living through an era of increased robotisation. Some authors have already begun to explore the impact of this robotisation on legal rules and practice. In doing so, many highlight potential liability gaps that might arise through robot misbehaviour. Although these gaps are interesting and socially significant, they do not exhaust the possible gaps that might be created by increased robotisation. In this article, I make the case for one of those alternative gaps: the retribution gap. This gap arises (...) from a mismatch between the human desire for retribution and the absence of appropriate subjects of retributive blame. I argue for the potential existence of this gap in an era of increased robotisation; suggest that it is much harder to plug this gap than it is to plug those thus far explored in the literature; and then highlight three important social implications of this gap. (shrink)

Human obsolescence is imminent. We are living through an era in which our activity is becoming less and less relevant to our well-being and to the fate of our planet. This trend toward increased obsolescence is likely to continue in the future, and we must do our best to prepare ourselves and our societies for this reality. Far from being a cause for despair, this is in fact an opportunity for optimism. Harnessed in the right way, the technology that hastens (...) our obsolescence can open us up to new utopian possibilities and enable heightened forms of human flourishing. (shrink)

In this paper, I outline a proposal for assigning liability for autonomous machines modeled on the doctrine of respondeat superior. I argue that the machines’ users’ or designers’ liability should be determined by the manner in which the machines are created, which, in turn, should be responsive to considerations of the machines’ welfare interests. This approach has the twin virtues of promoting socially beneficial design of machines, and of taking their potential moral patiency seriously. I then argue for abandoning the (...) retributive approach to machine crime in favor of prioritizing restitution. I argue that this shift better conforms to what justice demands when sophisticated artificial agents of uncertain moral status are concerned. (shrink)

Sparrow argues that military robots capable of making their own decisions would be independent enough to allow us denial for their actions, yet too unlike us to be the targets of meaningful blame or praise—thereby fostering what Matthias has dubbed “the responsibility gap.” We agree with Sparrow that someone must be held responsible for all actions taken in a military conflict. That said, we think Sparrow overlooks the possibility of what we term “blank check” responsibility: A person of sufficiently high (...) standing could accept responsibility for the actions of autonomous robotic devices—even if that person could not be causally linked to those actions besides this prior agreement. The basic intuition behind our proposal is that humans can impute relations even when no other form of contact can be established. The missed alternative we want to highlight, then, would consist in an exchange: Social prestige in the occupation of a given office would come at the price of signing away part of one's freedoms to a contingent and unpredictable future guided by another agency. (shrink)

Semiotic objections to commodification hold that buying and selling certain goods and services is wrong because of what market exchange communicates or because it violates the meaning of certain goods, services, and relationships. We argue that such objections fail. The meaning of markets and of money is a contingent, socially constructed fact. Cultures often impute meaning to markets in harmful, socially destructive, or costly ways. Rather than semiotic objections giving us reason to judge certain markets as immoral, the usefulness of (...) certain markets gives us reason to judge certain semiotic codes as immoral. (shrink)

We argue that explainable artificial intelligence (XAI), specifically reason-giving XAI, often constitutes the most suitable way of ensuring that someone can properly be held responsible for decisions that are based on the outputs of artificial intelligent (AI) systems. We first show that, to close moral responsibility gaps (Matthias 2004), often a human in the loop is needed who is directly responsible for particular AI-supported decisions. Second, we appeal to the epistemic condition on moral responsibility to argue that, in order to (...) be responsible for her decision, the human in the loop has to have an explanation available of the system’s recommendation. Reason explanations are especially well-suited to this end and we examine whether – and how – it might be possible to make such explanations fit with AI systems. We support our claims by focusing on a case of disagreement between human in the loop and AI system. (shrink)

The underlying thesis of the research in ethical autonomy for lethal autonomous unmanned systems is that they will potentially be capable of performing more ethically on the battlefield than are human soldiers. In this article this hypothesis is supported by ongoing and foreseen technological advances and perhaps equally important by an assessment of the fundamental ability of human warfighters in today's battlespace. If this goal of better-than-human performance is achieved, even if still imperfect, it can result in a reduction in (...) noncombatant casualties and property damage consistent with adherence to the Laws of War as prescribed in international treaties and conventions, and is thus worth pursuing vigorously. (shrink)

Recently T. M. Scanlon and others have advanced an ostensibly comprehensive theory of moral responsibility—a theory of both being responsible and being held responsible—that best accounts for our moral practices. I argue that both aspects of the Scanlonian theory fail this test. A truly comprehensive theory must incorporate and explain three distinct conceptions of responsibility—attributability, answerability, and accountability—and the Scanlonian view conflates the first two and ignores the importance of the third. To illustrate what a truly comprehensive theory might look (...) like, I investigate what it would say about the difficult case of the psychopath. (shrink)

In this book, the author examines the ethical implications of Artificial Intelligence systems as they integrate and replace traditional social structures in new sociocognitive-technological environments. She discusses issues related to the integrity of researchers, technologists, and manufacturers as they design, construct, use, and manage artificially intelligent systems; formalisms for reasoning about moral decisions as part of the behavior of artificial autonomous systems such as agents and robots; and design methodologies for social agents based on societal, moral, and legal values. Throughout (...) the book the author discusses related work, conscious of both classical, philosophical treatments of ethical issues and the implications in modern, algorithmic systems, and she combines regular references and footnotes with suggestions for further reading. This short overview is suitable for undergraduate students, in both technical and non-technical courses, and for interested and concerned researchers, practitioners, and citizens. (shrink)

This book argues that we need to explore how human beings can best coordinate and collaborate with robots in responsible ways. It investigates ethically important differences between human agency and robot agency to work towards an ethics of responsible human-robot interaction.

In some situations in which undesirable collective effects occur, it is very hard, if not impossible, to hold any individual reasonably responsible. Such a situation may be referred to as the problem of many hands. In this paper we investigate how the problem of many hands can best be understood and why, and when, it exactly constitutes a problem. After analyzing climate change as an example, we propose to define the problem of many hands as the occurrence of a gap (...) in the distribution of responsibility that may be considered morally problematic. Whether a gap is morally problematic, we suggest, depends on the reasons why responsibility is distributed. This, in turn, depends, at least in part, on the sense of responsibility employed, a main distinction being that between backward-looking and forward-looking responsibility. (shrink)

In a landmark essay, Andreas Matthias claimed that current developments in autonomous, artificially intelligent systems are creating a so-called responsibility gap, which is allegedly ever-widening and stands to undermine both the moral and legal frameworks of our society. But how severe is the threat posed by emerging technologies? In fact, a great number of authors have indicated that the fear is thoroughly instilled. The most pessimistic are calling for a drastic scaling-back or complete moratorium on AI systems, while the optimists (...) aim to show that the gap can be bridged nonetheless. Contrary to both camps, I argue against the prevailing assumption that there is a technology-based responsibility gap. I show how moral responsibility is a dynamic and flexible process, one that can effectively encompass emerging technological entities. (shrink)

There has recently been increasing interest in the possibility and ethics of lethal autonomous weapons systems (LAWS), which would combine sophisticated AI with machinery capable of deadly force. One objection to LAWS is that their use will create a troubling responsibility gap, where no human agent can properly be held accountable for the outcomes that they create. While some authors have attempted to show that individual agents can, in fact, be responsible for the behaviour of LAWS in various circumstances, this (...) will not be possible in all cases. This article argues, however, that by assigning responsibilities to group agents operating within the military‐industrial complex, as well as the military‐industrial complex as a whole, we may be able to close the responsibility gap, or at least reduce its costs. Insofar as the potential for responsibility gaps poses an ethical barrier to the development and deployment of LAWS, this argument, if sound, may show their use to be morally permissible in a greater range of cases. (shrink)

A variety of ethical objections have been raised against the military employment of uninhabited aerial vehicles (UAVs, drones). Some of these objections are technological concerns over UAVs abilities’ to function on par with their inhabited counterparts. This paper sets such concerns aside and instead focuses on supposed objections to the use of UAVs in principle. I examine several such objections currently on offer and show them all to be wanting. Indeed, I argue that we have a duty to protect an (...) agent engaged in a justified act from harm to the greatest extent possible, so long as that protection does not interfere with the agent's ability to act justly. UAVs afford precisely such protection. Therefore, we are obligated to employ UAV weapon systems if it can be shown that their use does not significantly reduce a warfighter's operational capability. Of course, if a given military action is unjustified to begin with, then carrying out that act via UAVs is wrong, just as it would be with any weapon. But the point of this paper is to show that there is nothing wrong in principle with using a UAV and that, other things being equal, using such technology is, in fact, obligatory. (shrink)

There is increasing speculation within military and policy circles that the future of armed conflict is likely to include extensive deployment of robots designed to identify targets and destroy them without the direct oversight of a human operator. My aim in this paper is twofold. First, I will argue that the ethical case for allowing autonomous targeting, at least in specific restricted domains, is stronger than critics have acknowledged. Second, I will attempt to uncover, explicate, and defend the intuition that (...) even in this context there would be something ethically problematic about such targeting. I argue that an account of the non-consequentialist foundations of the principle of distinction suggests that the use of autonomous weapon systems is unethical by virtue of failing to show appropriate respect for the humanity of our enemies. However, the success of the strongest form of this argument depends upon understanding the robot itself as doing the killing. To the extent that we believe that, on the contrary, AWS are only the means whereby those who order them into action kill, the idea that the use of AWS fails to respect the humanity of our enemy will turn upon an account of what is required by respect that is essentially conventional. Thus, while the theoretical foundations of the idea that AWS are weapons that are “evil in themselves” are weaker than critics have sometimes maintained, they are nonetheless sufficient to the task of demanding a prohibition of the development and deployment of such weapons. (shrink)

The United States Army’s Future Combat Systems Project, which aims to manufacture a “robot army” to be ready for deployment by 2012, is only the latest and most dramatic example of military interest in the use of artificially intelligent systems in modern warfare. This paper considers the ethics of a decision to send artificially intelligent robots into war, by asking who we should hold responsible when an autonomous weapon system is involved in an atrocity of the sort that would normally (...) be described as a war crime. A number of possible loci of responsibility for robot war crimes are canvassed; the persons who designed or programmed the system, the commanding officer who ordered its use, the machine itself. I argue that in fact none of these are ultimately satisfactory. Yet it is a necessary condition for fighting a just war, under the principle of jus in bellum, that someone can be justly held responsible for deaths that occur in the course of the war. As this condition cannot be met in relation to deaths caused by an autonomous weapon system it would therefore be unethical to deploy such systems in warfare. (shrink)

ABSTRACTIt has recently become fashionable among those who write on questions of moral responsibility to distinguish two different concepts, or senses, of moral responsibility via the labels ‘responsibility as attributability’ and ‘responsibility as accountability’. Gary Watson was perhaps the first to introduce this distinction in his influential 1996 article ‘Two Faces of Responsibility’ , but it has since been taken up by many other philosophers. My aim in this study is to raise some questions and doubts about this distinction and (...) to argue that it has led to confusion rather than clarification in debates over moral responsibility. In place of the attributability/accountability distinction, I propose that there is a single concept of moral responsibility underlying our actual moral practices. This core notion of moral responsibility, which I call ‘responsibility as answerability’, is well positioned to explain thos.. (shrink)

A number of philosophers have recently argued that we should interpret the debate over moral responsibility as a debate over the conditions under which it would be “fair” to blame a person for her attitudes or conduct. What is distinctive about these accounts is that they begin with the stance of the moral judge, rather than that of the agent who is judged, and make attributions of responsibility dependent upon whether it would be fair or appropriate for a moral judge (...) to react to the agent in various (negative) ways. This is problematic, I argue, because our intuitions about whether and when it would be fair to react negatively to another are sensitive to a host of considerations that appear to have little or nothing to do with an agent’s responsibility or culpability for her attitudes or behavior. If this is correct, then theories which make attributions of responsibility dependent upon the appropriateness of our reactions as moral judges will turn out to be fundamentally misguided. (shrink)

May lethal autonomous weapons systems—‘killer robots ’—be used in war? The majority of writers argue against their use, and those who have argued in favour have done so on a consequentialist basis. We defend the moral permissibility of killer robots, but on the basis of the non-aggregative structure of right assumed by Just War theory. This is necessary because the most important argument against killer robots, the responsibility trilemma proposed by Rob Sparrow, makes the same assumptions. We show that the (...) crucial moral question is not one of responsibility. Rather, it is whether the technology can satisfy the requirements of fairness in the re-distribution of risk. Not only is this possible in principle, but some killer robots will actually satisfy these requirements. An implication of our argument is that there is a public responsibility to regulate killer robots ’ design and manufacture. (shrink)

The notion of “responsibility gap” with artificial intelligence (AI) was originally introduced in the philosophical debate to indicate the concern that “learning automata” may make more difficult or impossible to attribute moral culpability to persons for untoward events. Building on literature in moral and legal philosophy, and ethics of technology, the paper proposes a broader and more comprehensive analysis of the responsibility gap. The responsibility gap, it is argued, is not one problem but a set of at least four interconnected (...) problems – gaps in culpability, moral and public accountability, active responsibility—caused by different sources, some technical, other organisational, legal, ethical, and societal. Responsibility gaps may also happen with non-learning systems. The paper clarifies which aspect of AI may cause which gap in which form of responsibility, and why each of these gaps matter. It proposes a critical review of partial and non-satisfactory attempts to address the responsibility gap: those which present it as a new and intractable problem (“fatalism”), those which dismiss it as a false problem (“deflationism”), and those which reduce it to only one of its dimensions or sources and/or present it as a problem that can be solved by simply introducing new technical and/or legal tools (“solutionism”). The paper also outlines a more comprehensive approach to address the responsibility gaps with AI in their entirety, based on the idea of designing socio-technical systems for “meaningful human control", that is systems aligned with the relevant human reasons and capacities. (shrink)

There have been two recent strands of argument arguing for the pro tanto impermissibility of fully autonomous weapon systems. On Sparrow's view, AWS are impermissible because they generate a morally problematic ‘responsibility gap’. According to Purves et al., AWS are impermissible because moral reasoning is not codifiable and because AWS are incapable of acting for the ‘right’ reasons. I contend that these arguments are flawed and that AWS are not morally problematic in principle. Specifically, I contend that these arguments presuppose (...) an incoherent conception of an AWS as somehow making genuine decisions but not being morally responsible for those very same decisions. Rather than conceiving of AWS in this way, I argue that an AWS is either a socially-constructed institution that has been physically instantiated or it is a genuine agent. If it is the former, then we should treat AWS as we do any other collective action problem. If it is the latter, then we should treat AWS as responsibility-bearers, but also as bearers of rights and/or interests. To reject this disjunction is not only conceptually incoherent but also potentially morally dangerous. (shrink)

The paper has dual aim: to analyse the structure of negligence, and to use it to offer an explanation of responsibility (for actions, omissions, consequences) in terms of the relations which must exist between the action (omission, etc.) and the agents powers of rational agency if the agent is responsible for the action. The discussion involves reflections on the relations between the law and the morality of negligence, the difference between negligence and strict liability, the role of excuses and the (...) grounds of duties to pay damages. (shrink)

We propose that the prevalent moral aversion to AWS is supported by a pair of compelling objections. First, we argue that even a sophisticated robot is not the kind of thing that is capable of replicating human moral judgment. This conclusion follows if human moral judgment is not codifiable, i.e., it cannot be captured by a list of rules. Moral judgment requires either the ability to engage in wide reflective equilibrium, the ability to perceive certain facts as moral considerations, moral (...) imagination, or the ability to have moral experiences with a particular phenomenological character. Robots cannot in principle possess these abilities, so robots cannot in principle replicate human moral judgment. If robots cannot in principle replicate human moral judgment then it is morally problematic to deploy AWS with that aim in mind. Second, we then argue that even if it is possible for a sufficiently sophisticated robot to make ‘moral decisions’ that are extensionally indistinguishable from (or better than) human moral decisions, these ‘decisions’ could not be made for the right reasons. This means that the ‘moral decisions’ made by AWS are bound to be morally deficient in at least one respect even if they are extensionally indistinguishable from human ones. Our objections to AWS support the prevalent aversion to the employment of AWS in war. They also enjoy several significant advantages over the most common objections to AWS in the literature. (shrink)

Many ethicists writing about automated systems attribute agency to these systems. Not only that; they seemingly attribute an autonomous or independent form of agency to these machines. This leads some ethicists to worry about responsibility-gaps and retribution-gaps in cases where automated systems harm or kill human beings. In this paper, I consider what sorts of agency it makes sense to attribute to most current forms of automated systems, in particular automated cars and military robots. I argue that whereas it indeed (...) makes sense to attribute different forms of fairly sophisticated agency to these machines, we ought not to regard them as acting on their own, independently of any human beings. Rather, the right way to understand the agency exercised by these machines is in terms of human–robot collaborations, where the humans involved initiate, supervise, and manage the agency of their robotic collaborators. This means, I argue, that there is much less room for justified worries about responsibility-gaps and retribution-gaps than many ethicists think. (shrink)

Central to the ethical concerns raised by the prospect of increasingly autonomous military robots are issues of responsibility. In this paper we examine different conceptions of autonomy within the discourse on these robots to bring into focus what is at stake when it comes to the autonomous nature of military robots. We argue that due to the metaphorical use of the concept of autonomy, the autonomy of robots is often treated as a black box in discussions about autonomous military robots. (...) When the black box is opened up and we see how autonomy is understood and ‘made’ by those involved in the design and development of robots, the responsibility questions change significantly. (shrink)

Traditionally, the manufacturer/operator of a machine is held (morally and legally) responsible for the consequences of its operation. Autonomous, learning machines, based on neural networks, genetic algorithms and agent architectures, create a new situation, where the manufacturer/operator of the machine is in principle not capable of predicting the future machine behaviour any more, and thus cannot be held morally responsible or liable for it. The society must decide between not using this kind of machine any more (which is not a (...) realistic option), or facing a responsibility gap, which cannot be bridged by traditional concepts of responsibility ascription. (shrink)

Traditionally, the manufacturer/operator of a machine is held (morally and legally) responsible for the consequences of its operation. Autonomous, learning machines, based on neural networks, genetic algorithms and agent architectures, create a new situation, where the manufacturer/operator of the machine is in principle not capable of predicting the future machine behaviour any more, and thus cannot be held morally responsible or liable for it. The society must decide between not using this kind of machine any more (which is not a (...) realistic option), or facing a responsibility gap, which cannot be bridged by traditional concepts of responsibility ascription. (shrink)

Robotic warfare has now become a real prospect. One issue that has generated heated debate concerns the development of ‘Killer Robots’. These are weapons that, once programmed, are capable of finding and engaging a target without supervision by a human operator. From a conceptual perspective, the debate on Killer Robots has been rather confused, not least because it is unclear how central elements of these weapons can be defined. Offering a precise take on the relevant conceptual issues, the article contends (...) that Killer Robots are best seen as executors of targeting decisions made by their human programmers. However, from a normative perspective, the execution of targeting decisions by Killer Robots should worry us. The article argues that what is morally bad about Killer Robots is that they replace human agency in warfare with artificial agency, a development which should be resisted. Finally, the article contends that the issue of agency points to a wider problem in just war theory, namely the role of moral rights in our normative reasoning on armed conflict. (shrink)

In the debate on whether to ban LAWS, moral arguments are mainly used. One of these arguments, proposed by Sparrow, is that the use of LAWS goes hand in hand with the responsibility gap. Together with the premise that the ability to hold someone responsible is a necessary condition for the admissibility of an act, Sparrow believes that this leads to the conclusion that LAWS should be prohibited. In this article, it will be shown that Sparrow’s argumentation for both premises (...) is not convincing. If one interprets the thesis that responsibility (first premise) is necessary in a descriptive sense, this assertion clashes with military theory and practice. And even if you focus on the normative interpretation, that claim does not stand. The second premise for Sparrow’s conclusion, namely that you cannot hold anyone responsible for LAWS’ (mis)deeds, is based on the idea that control is a necessary condition for responsibility. It will be shown that this idea too is not correct, which means that Sparrow’s control argument does not do the work it should do. From this, we can conclude that Sparrow’s justification for his claim that LAWS should be banned is insufficient, and neither can we conclude that the thesis of a responsibility gap has in any case been undermined. However, it will also be argued that someone may be responsible for the actions of LAWS, or that it cannot be excluded that one can be held responsible. (shrink)

Robotization is an increasingly pervasive feature of our lives. Robots with high degrees of autonomy may cause harm, yet in sufciently complex systems neither the robots nor the human developers may be candidates for moral blame. John Danaher has recently argued that this may lead to a retribution gap, where the human desire for retribution faces a lack of appropriate subjects for retributive blame. The potential social and moral implications of a retribution gap are considerable. I argue that the retributive (...) intuitions that feed into retribution gaps are best understood as deontological intuitions. I apply a debunking argument for deontological intuitions in order to show that retributive intuitions cannot be used to justify retributive punishment in cases of robot harm without clear candidates for blame. The fundamental moral question thus becomes what we ought to do with these retributive intuitions, given that they do not justify retribution. I draw a parallel from recent work on implicit biases to make a case for taking moral responsibility for retributive intuitions. In the same way that we can exert some form of control over our unwanted implicit biases, we can and should do so for unjustifed retributive intuitions in cases of robot harm. (shrink)

This paper provides a discussion of the role that emotions may play in the justification of punishment. On the expressivist account of punishment, punishment has the purpose of expressing appropriate emotional reactions to wrongdoing, such as indignation, resentment or guilt. I will argue that this expressivist approach fails as these emotions can be expressed other than through the infliction of punishment. Another argument for hard treatment put forward by expressivists states that punitive sanctions are necessary in order for the law (...) to be valid. But this justification of punishment, too, is unconvincing. There are no good reasons to assume that we have to resort to punitive measures in order to vindicate the law. I will then raise the more general worry whether there is any intelligible link at all between moral emotions such as indignation, resentment or guilt and retributive behaviour. I will finally conclude with some sceptical remarks on the moral worth of retribution. (shrink)

Recent decades have witnessed tremendous progress in artificial intelligence and in the development of autonomous systems that rely on artificial intelligence. Critics, however, have pointed to the difficulty of allocating responsibility for the actions of an autonomous system, especially when the autonomous system causes harm or damage. The highly autonomous behavior of such systems, for which neither the programmer, the manufacturer, nor the operator seems to be responsible, has been suspected to generate responsibility gaps. This has been the cause of (...) much concern. In this article, I propose a more optimistic view on artificial intelligence, raising two challenges for responsibility gap pessimists. First, proponents of responsibility gaps must say more about when responsibility gaps occur. Once we accept a difficult-to-reject plausibility constraint on the emergence of such gaps, it becomes apparent that the situations in which responsibility gaps occur are unclear. Second, assuming that responsibility gaps occur, more must be said about why we should be concerned about such gaps in the first place. I proceed by defusing what I take to be the two most important concerns about responsibility gaps, one relating to the consequences of responsibility gaps and the other relating to violations of jus in bello. (shrink)

Ordinary morality judges agents blameworthy for negligently produced harms. In this paper I offer two main reasons for thinking that explaining just how negligent agents are responsible for the harms they produce is more problematic than one might think. First, I show that negligent conduct is characterized by the lack of conscious control over the harm, which conflicts with the ordinary view that responsibility for something requires at least some conscious control over it. Second, I argue that negligence is relevantly (...) indistinguishable from inadvertence, which is ordinarily thought to excuse agents from responsibility. I argue that the parallels between negligence and inadvertence suggest that negligent agents are not responsible for the harms they produce, while proposing an alternative model for distinguishing between negligence and inadvertence that does justice to our intuitions. (shrink)

Advances in artificial intelligence research allow us to build fairly sophisticated agents: robots and computer programs capable of acting and deciding on their own. These systems raise questions about who is responsible when something goes wrong—when such systems harm or kill humans. In a recent paper, Sven Nyholm has suggested that, because current AI will likely possess what we might call “supervised agency”, the theory of responsibility for individual agency is the wrong place to look for an answer to the (...) question of responsibility. Instead, or so argues Nyholm, because supervised agency is a form of collaborative agency—of acting together—the right place to look is the theory of collaborative responsibility—responsibility in cases of acting together. This paper concedes that current AI will possess supervised agency, but argues that it is nevertheless wrong to think of the relevant human-AI interactions as a form of collaborative agency and, hence, that responsibility in cases of collaborative agency is not the right place to look for the responsibility-grounding relation in human-AI interactions. It also suggests that the right place to look for this responsibility-grounding relation in human-AI interactions is the use of certain sorts of agents as instruments. (shrink)

In this paper, we first classify different types of second opinions and evaluate the ethical and epistemological implications of providing those in a clinical context. Second, we discuss the issue of how artificial intelligent could replace the human cognitive labour of providing such second opinion and find that several AI reach the levels of accuracy and efficiency needed to clarify their use an urgent ethical issue. Third, we outline the normative conditions of how AI may be used as second opinion (...) in clinical processes, weighing the benefits of its efficiency against concerns of responsibility attribution. Fourth, we provide a ‘rule of disagreement’ that fulfils these conditions while retaining some of the benefits of expanding the use of AI-based decision support systems in clinical contexts. This is because the rule of disagreement proposes to use AI as much as possible, but retain the ability to use human second opinions to resolve disagreements between AI and physician-in-charge. Fifth, we discuss some counterarguments. (shrink)

Robert Sparrow argues that several initially plausible arguments in favor of the deployment of autonomous weapons systems (AWS) in warfare fail, and that their deployment faces a serious moral objection: deploying AWS fails to express the respect for the casualties of war that morality requires. We critically discuss Sparrow’s argument from respect and respond on behalf of some objections he considers. Sparrow’s argument against AWS relies on the claim that they are distinct from accepted weapons of war in that they (...) either fail to transmit an attitude of respect or they transmit an attitude of disrespect. We argue that this distinction between AWS and widely accepted weapons is illusory, and so cannot ground a moral difference between AWS and existing methods of waging war. We also suggest that, if deploying conventional soldiers in some situation would be permissible, and if we could expect deploying AWS to cause fewer civilian casualties, then it would be consistent with an intuitive understanding of respect to deploy AWS in this situation. (shrink)

The advent of intelligent artificial systems has sparked a dispute about the question of who is responsible when such a system causes a harmful outcome. This paper champions the idea that this dispute should be approached as a conceptual engineering problem. Towards this claim, the paper first argues that the dispute about the responsibility gap problem is in part a conceptual dispute about the content of responsibility and related concepts. The paper then argues that the way forward is to evaluate (...) the conceptual choices we have, in the light of a systematic understanding of why the concept is important in the first place—in short, the way forward is to engage in conceptual engineering. The paper then illustrates what approaching the responsibility gap problem as a conceptual engineering problem looks like. It outlines argumentative pathways out of the responsibility gap problem and relates these to existing contributions to the dispute. (shrink)

Future weapons will make life-or-death decisions without a human in the loop. When such weapons inflict unwarranted harm, no one appears to be responsible. There seems to be a responsibility gap. I first reconstruct the argument for such responsibility gaps to then argue that this argument is not sound. The argument assumes that commanders have no control over whether autonomous weapons inflict harm. I argue against this assumption. Although this investigation concerns a specific case of autonomous weapons systems, I take (...) steps towards vindicating the more general idea that superiors can be morally responsible in virtue of being in command. (shrink)

This article discusses mechanisms and principles for assignment of moral responsibility to intelligent robots, with special focus on military robots. We introduce the concept autonomous power as a new concept, and use it to identify the type of robots that call for moral considerations. It is furthermore argued that autonomous power, and in particular the ability to learn, is decisive for assignment of moral responsibility to robots. As technological development will lead to robots with increasing autonomous power, we should be (...) prepared for a future when people blame robots for their actions. It is important to, already today, investigate the mechanisms that control human behavior in this respect. The results may be used when designing future military robots, to control unwanted tendencies to assign responsibility to the robots. Independent of the responsibility issue, the moral quality of robots’ behavior should be seen as one of many performance measures by which we evaluate robots. How to design ethics based control systems should be carefully investigated already now. From a consequentialist view, it would indeed be highly immoral to develop robots capable of performing acts involving life and death, without including some kind of moral framework. (shrink)

Current advances in research, development and application of artificial intelligence systems have yielded a far-reaching discourse on AI ethics. In consequence, a number of ethics guidelines have been released in recent years. These guidelines comprise normative principles and recommendations aimed to harness the “disruptive” potentials of new AI technologies. Designed as a semi-systematic evaluation, this paper analyzes and compares 22 guidelines, highlighting overlaps but also omissions. As a result, I give a detailed overview of the field of AI ethics. Finally, (...) I also examine to what extent the respective ethical principles and values are implemented in the practice of research, development and application of AI systems—and how the effectiveness in the demands of AI ethics can be improved. (shrink)

The task of this essay is to respond to the question concerning robots and responsibility—to answer for the way that we understand, debate, and decide who or what is able to answer for decisions and actions undertaken by increasingly interactive, autonomous, and sociable mechanisms. The analysis proceeds through three steps or movements. It begins by critically examining the instrumental theory of technology, which determines the way one typically deals with and responds to the question of responsibility when it involves technology. (...) It then considers three instances where recent innovations in robotics challenge this standard operating procedure by opening gaps in the usual way of assigning responsibility. The innovations considered in this section include: autonomous technology, machine learning, and social robots. The essay concludes by evaluating the three different responses—instrumentalism 2.0, machine ethics, and hybrid responsibility—that have been made in face of these difficulties in an effort to map out the opportunities and challenges of and for responsible robotics. (shrink)

Terrorism, the use of military force in Afghanistan, Iraq and Syria, and the fatal police shootings of unarmed persons have all contributed to renewed interest in the ethics of police and military use of lethal force and its moral justification. In this book, philosopher Seumas Miller analyzes the various moral justifications and moral responsibilities involved in the use of lethal force by police and military combatants, relying on a distinctive normative teleological account of institutional roles. His conception constitutes a novel (...) alternative to prevailing reductive individualist and collectivist accounts. As Miller argues, police and military uses of lethal force are morally justified in part by recourse to fundamental natural moral rights and obligations, especially the right to personal self-defense and the moral obligation to defend the lives of innocent others. Yet the moral justification for police and military use of lethal force is to some extent role-specific. Both police officers and military combatants evidently have an institutionally-based moral duty to put themselves in harm's way to protect others. Under some circumstances, however, police have an institutionally based moral duty to use lethal force to uphold the law; and military combatants have an institutionally based moral duty to use lethal force to win wars. Two key notions in play are joint action and the natural right to self-defense. Miller uses a relational individualist theory of joint actions to construct the notion of multi-layered structures of joint action in order to explicate organizational action. He also provides a novel theory of justifiable killing in self-defense. Over the course of his book, Miller covers a variety of urgent topics, such as police shootings of armed offenders, police shooting of suicide-bombers, targeted killing, autonomous weapons, humanitarian armed intervention, and civilian immunity. (shrink)

What is the relation between the ethics, the law, and the governance of the digital? In this article I articulate and defend what I consider the most reasonable answer.

In previous works (Floridi 2018) I introduced the distinction between hard ethics (which may broadly be described as what is morally right and wrong independently of whether something is legal or illegal), and soft or post-compliance ethics (which focuses on what ought to be done over and above existing legislation). This paper analyses the applicability of soft ethics to the General Data Protection Regulation and advances the theory that soft ethics has a dual advantage—as both an opportunity strategy and a (...) risk management solution. (shrink)